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information, you always pull the address detail records as well. The rows that arrive over time are always retrieved together. To make the retrieval more efficient, you can use an IOT for the child table to put all of the records for a given employee near each other upon insertion, so when you retrieve them over and over again, you do less work. An example will easily show the effects of using an IOT to physically co-locate the child table information. Let s create and populate an EMP table: ops$tkyte@ORA10GR1> create table emp 2 as 3 select object_id empno, 4 object_name ename, 5 created hiredate, 6 owner job 7 from all_objects 8 / Table created. ops$tkyte@ORA10GR1> alter table emp add constraint emp_pk primary key(empno) 2 / Table altered. ops$tkyte@ORA10GR1> begin 2 dbms_stats.gather_table_stats( user, 'EMP', cascade=>true ); 3 end; 4 / PL/SQL procedure successfully completed. Next, we ll implement the child table two times: once as a conventional heap table and again as an IOT: ops$tkyte@ORA10GR1> create table heap_addresses 2 ( empno references emp(empno) on delete cascade, 3 addr_type varchar2(10), 4 street varchar2(20), 5 city varchar2(20), 6 state varchar2(2), 7 zip number, 8 primary key (empno,addr_type) 9 ) 10 / Table created. ops$tkyte@ORA10GR1> create table iot_addresses 2 ( empno references emp(empno) on delete cascade, 3 addr_type varchar2(10), 4 street varchar2(20), 5 city varchar2(20), 6 state varchar2(2),

Error: Implementation Map has invalid calling convention 0xff Error: Item (field,method) has invalid access flag Error: Field marked both InitOnly and Literal..

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7 zip number, 8 primary key (empno,addr_type) 9 ) 10 ORGANIZATION INDEX 11 / Table created. I populated these tables by inserting into them a work address for each employee, then a home address, then a previous address, and finally a school address. A heap table would tend to place the data at the end of the table; as the data arrives, the heap table would simply add it to the end, due to the fact that the data is just arriving and no data is being deleted. Over time, if addresses are deleted the inserts would become more random throughout the table. But suffice it to say that the odds an employee s work address would be on the same block as his home address in the heap table is near zero. For the IOT, however, since the key is on EMPNO,ADDR_TYPE, we ll be pretty sure that all of the addresses for a given EMPNO are located on one or maybe two index blocks together. The inserts used to populate this data were ops$tkyte@ORA10GR1> insert into heap_addresses 2 select empno, 'WORK', '123 main street', 'Washington', 'DC', 20123 3 from emp; 48250 rows created. ops$tkyte@ORA10GR1> insert into iot_addresses 2 select empno, 'WORK', '123 main street', 'Washington', 'DC', 20123 3 from emp; 48250 rows created. I did that three more times, changing WORK to HOME, PREV, and SCHOOL in turn. Then I gathered statistics: ops$tkyte@ORA10GR1> exec dbms_stats.gather_table_stats( user, 'HEAP_ADDRESSES' ); PL/SQL procedure successfully completed. ops$tkyte@ORA10GR1> exec dbms_stats.gather_table_stats( user, 'IOT_ADDRESSES' ); PL/SQL procedure successfully completed. Now we are ready to see what measurable difference we could expect to see. Using AUTOTRACE, we ll get a feeling for the change: ops$tkyte@ORA10GR1> set autotrace traceonly ops$tkyte@ORA10GR1> select * 2 from emp, heap_addresses 3 where emp.empno = heap_addresses.empno 4 and emp.empno = 42;

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Execution Plan ---------------------------------------------------------0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=8 Card=4 Bytes=336) 1 0 NESTED LOOPS (Cost=8 Card=4 Bytes=336)

2 3 4 5

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